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Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies
Proteins including FUS, hnRNPA2, and TDP-43 reversibly aggregate into amyloid-like fibrils through interactions of their low-complexity domains (LCDs). Mutations in LCDs can promote irreversible amyloid aggregation and disease. We introduce a computational approach to identify mutations in LCDs of d...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205782/ https://www.ncbi.nlm.nih.gov/pubmed/35637421 http://dx.doi.org/10.1038/s41594-022-00774-y |
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author | Murray, Kevin A. Hughes, Michael P. Hu, Carolyn J. Sawaya, Michael R. Salwinski, Lukasz Pan, Hope French, Samuel W. Seidler, Paul M. Eisenberg, David S. |
author_facet | Murray, Kevin A. Hughes, Michael P. Hu, Carolyn J. Sawaya, Michael R. Salwinski, Lukasz Pan, Hope French, Samuel W. Seidler, Paul M. Eisenberg, David S. |
author_sort | Murray, Kevin A. |
collection | PubMed |
description | Proteins including FUS, hnRNPA2, and TDP-43 reversibly aggregate into amyloid-like fibrils through interactions of their low-complexity domains (LCDs). Mutations in LCDs can promote irreversible amyloid aggregation and disease. We introduce a computational approach to identify mutations in LCDs of disease-associated proteins predicted to increase propensity for amyloid aggregation. We identify several disease-related mutations in the intermediate filament protein keratin-8 (KRT8). Atomic structures of wild-type and mutant KRT8 segments confirm the transition to a pleated strand capable of amyloid formation. Biochemical analysis reveals KRT8 forms amyloid aggregates, and the identified mutations promote aggregation. Aggregated KRT8 is found in Mallory–Denk bodies, observed in hepatocytes of livers with alcoholic steatohepatitis (ASH). We demonstrate that ethanol promotes KRT8 aggregation, and KRT8 amyloids co-crystallize with alcohol. Lastly, KRT8 aggregation can be seeded by liver extract from people with ASH, consistent with the amyloid nature of KRT8 aggregates and the classification of ASH as an amyloid-related condition. |
format | Online Article Text |
id | pubmed-9205782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-92057822022-06-19 Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies Murray, Kevin A. Hughes, Michael P. Hu, Carolyn J. Sawaya, Michael R. Salwinski, Lukasz Pan, Hope French, Samuel W. Seidler, Paul M. Eisenberg, David S. Nat Struct Mol Biol Article Proteins including FUS, hnRNPA2, and TDP-43 reversibly aggregate into amyloid-like fibrils through interactions of their low-complexity domains (LCDs). Mutations in LCDs can promote irreversible amyloid aggregation and disease. We introduce a computational approach to identify mutations in LCDs of disease-associated proteins predicted to increase propensity for amyloid aggregation. We identify several disease-related mutations in the intermediate filament protein keratin-8 (KRT8). Atomic structures of wild-type and mutant KRT8 segments confirm the transition to a pleated strand capable of amyloid formation. Biochemical analysis reveals KRT8 forms amyloid aggregates, and the identified mutations promote aggregation. Aggregated KRT8 is found in Mallory–Denk bodies, observed in hepatocytes of livers with alcoholic steatohepatitis (ASH). We demonstrate that ethanol promotes KRT8 aggregation, and KRT8 amyloids co-crystallize with alcohol. Lastly, KRT8 aggregation can be seeded by liver extract from people with ASH, consistent with the amyloid nature of KRT8 aggregates and the classification of ASH as an amyloid-related condition. Nature Publishing Group US 2022-05-30 2022 /pmc/articles/PMC9205782/ /pubmed/35637421 http://dx.doi.org/10.1038/s41594-022-00774-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Murray, Kevin A. Hughes, Michael P. Hu, Carolyn J. Sawaya, Michael R. Salwinski, Lukasz Pan, Hope French, Samuel W. Seidler, Paul M. Eisenberg, David S. Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
title | Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
title_full | Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
title_fullStr | Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
title_full_unstemmed | Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
title_short | Identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
title_sort | identifying amyloid-related diseases by mapping mutations in low-complexity protein domains to pathologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205782/ https://www.ncbi.nlm.nih.gov/pubmed/35637421 http://dx.doi.org/10.1038/s41594-022-00774-y |
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